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The World as a Neural Network

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Introduction to Neural Networks for Java, Second Edition

"Introduction to Neural Networks for Java" introduces the Java programmer to the world of Neural Networks and Artificial Intelligence;

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Neural Networks Theory

methodology of neural networks synthesis. The theory is expansive: covering not just traditional topics such as network architecture but also neural;

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Neural Network Modeling and Identification of Dynamical Systems

Neural Network Modeling and Identification of Dynamical Systems presents a new approach on how to obtain the adaptive neural network;

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World Congress on Neural Networks

Centered around 20 major topic areas of both theoretical and practical importance, the World Congress on Neural Networks provides its;

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Neural Networks with R

Uncover the power of artificial neural networks by implementing them through R code. About This Book * Develop a strong background;

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Neural Network Programming with Python

This book is a guide on how to implement a neural network in the Python programming language. It begins by giving you a brief overview;

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Artificial Neural Networks with Java

regression, this second edition shows you how to use neural networks for computer vision. It focuses on image recognition such as the classification;

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Neural Network Learning in Humans

. It seems that even to a very limited extent, new nerve cells can be built anew in the human central nervous system. Neural network learning;

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Radial Basis Function (RBF) Neural Network Control for Mechanical Systems

Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need for systematic design approaches to;

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Proceedings of the 1995 World Congress on Neural Networks

Centered around major topic areas of both theoretical and practical importance, the World Congress on Neural Networks provides its;

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Make Your Own Neural Network

A step-by-step gentle journey through the mathematics of neural networks, and making your own using the Python computer language. Neural;

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Neural Networks for Complete Beginners

networks. The first part of the book is an overview of artificial neural networks so as to help the reader understand what they are. You will also;

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Recent Advances in Artificial Neural Networks

* Provides up-to-date coverage of neural network paradigms and applications* Presents the work of internationally renowned experts;

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Practical Neural Network Recipes In C++

validating the network, and evaluating its performance. Though the book is not intended as a general course in neural networks, no background;

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Neural Network Modeling

Neural Network Modeling offers a cohesive approach to the statistical mechanics and principles of cybernetics as a basis for neural network;

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Building Neural Networks

This practical introduction describes the kinds of real-world problems neural network technology can solve. Surveying a range of neural;

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Artificial Intelligence for Humans, Volume 3

Neural networks have been a mainstay of artificial intelligence since its earliest days. Now, exciting new technologies such as deep;

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The Art of Learning

computer Presents the significances of learning simplicity and information content as related to neural network learning are included;

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Advances in Neural Network Research and Applications

This book is a part of the Proceedings of the Seventh International Symposium on Neural Networks (ISNN 2010), held on June 6-9, 2010;

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Neural Network Analysis, Architectures and Applications

multiversion neural computing. The book concludes by examining various neural network applications, such as neuron-fuzzy control systems and image;

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Neural Networks with Keras Cookbook

multiple neural network architectures such as CNN, RNN, LSTM in Keras Discover tips and tricks for designing a robust neural network to solve real;

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Artificial Neural Networks

these weights are adaptable, as they can be adjusted according to a learning algorithm. The usage of artificial neural networks today;

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Bifurcation and Nonlinear Dynamics in Neural Network

dynamics and chaos into neural networks. In this book, a new type of neural network is introduced based on the nonlinear dynamics and chaos;

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Simulating Neural Networks with Mathematica

This book introduces neural networks, their operation, and application, in the context of the interactive Mathematica environment. Readers;

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Recent Advances in Artificial Neural Networks

Neural networks represent a new generation of information processing paradigms designed to mimic-in a very limited sense-the human brain;

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Neural Network Programming with Java

This book is an exploration of neural networks and how to implement them in Java. First, the reader is guided so as to understand what;

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